Time functions and stochastic ensembles; stationary and power
spectral density; response of linear systems to random process

Gaussian process and noise; optimum linear systems

Base-band transmission 4 weeks

Binary and M-ary signaling

Optimum pulse shaping and filtering

Error probability, eye pattern.

Band-pass transmission 4 weeks

Signal representation, Gram-Schmidt orthonormalization

Optimal receiver, correlation and matched filter receivers

Amplitude, phase and frequency shift keying

Coherent and non-coherent detection

Power spectrum and error probability.

Information theory 3 weeks

Information measure and entropy, source coding

Channel capacity; error correction codes

Laboratory Topics:

Pulse-Amplitude Modulation and Time-Division-Multiplexing

Pulse-Width Modulation and Detection

Digital Communication Link using Pulse-Coded Modulation Techniques

Digital Communication using Frequency-Shift Keying

Simulation of Binary Digital Communications

PN sequence generation and Autocorrelation

Signal Constellation, Power Spectrum and Eye Diagram

The Reason this Course is in the Program:

The objective of this course is to introduce the fundamentals
of digital communications systems to the students who are familiar with
analog electronic and communication circuits and systems. Those subjects
were taught in the 4th and 5th semester of the program, respectively. The
emphasis of this course is on the modulation and detection of digital transmission
in the presence of additive white Gaussian noise, as well as on the performance
analysis techniques. The goal is to develop the student ability to have
a conceptual understanding of various aspects of digital communications,
as well as to analyze and design the basics of a digital communication system.

Prepared by:

Lim Nguyen - September 25, 2003

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